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Tier-1 brand and Bangalore metro increase density, but senior research focus limits broadly qualified applicants.
Strong research focus and specialized agentic ML expertise make cross-industry transfers less straightforward.
Requires 9+ years, advanced degree, strong publication record and specialized ML research expertise, so filters are stringent.
Lead foundational research in agentic AI focusing on developing novel machine learning models and algorithms for reasoning, planning, memory, tool use, and long-horizon task execution.
Design and conduct rigorous experiments to validate new approaches and translate research advances into product features.
Lead technical design reviews, mentor junior ML engineers, and collaborate cross-functionally to integrate research into shipped products.
9+ years of hands-on machine learning engineering experience in industry or research.
MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields with significant industry or research experience.
Strong fundamentals in machine learning, deep learning, optimization, and statistical modeling.
Demonstrated research experience in areas such as large language models, generative modeling, computer vision, multimodal learning, reinforcement learning, reasoning, and planning.
Expertise in developing novel modeling and learning approaches rather than assembling existing LLMs or frameworks.
Proven ability to formulate novel research problems, develop and experimentally validate new approaches with measurable impact.
Experience in leadership roles including technical design reviews and mentorship within machine learning research environments.